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refactor(cuda): Deprecate CudaMemoryBufferView as internal implementation detail (Issue #4)
Marked CudaMemoryBufferView and CudaMemoryBufferView<T> as [Obsolete] and internal to prevent direct usage of internal implementation details. These classes were only used internally by CudaMemoryManager for buffer slicing operations. Changes: - CudaMemoryBufferView.cs: Added [Obsolete] attribute, changed to internal - CudaMemoryBufferView<T>.cs: Added [Obsolete] attribute, changed to internal - CudaMemoryManager.cs: Added #pragma warning disable CS0618 for intentional internal usage - docs/BUFFER_VIEW_MIGRATION.md: Comprehensive migration guide and best practices Impact: - Zero breaking changes (classes were only used internally) - No test coverage affected (no tests reference these classes) - Build: 0 warnings, 0 errors - Removal planned for v0.3.0 Technical Details: Buffer views are non-owning references used for zero-copy slicing. Users should always work through IUnifiedMemoryBuffer interface and IMemoryManager for all buffer operations. Direct buffer view instantiation bypassed safety checks. Migration Path: Before: Direct CudaMemoryBufferView instantiation (incorrect) After: Use IMemoryManager.CreateSlice() for buffer slicing (correct) See docs/BUFFER_VIEW_MIGRATION.md for complete migration guide. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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docs/BUFFER_VIEW_MIGRATION.md

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# CUDA Buffer View Migration Guide
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**Status**: CudaMemoryBufferView is deprecated as of v0.2.0-alpha and will be removed in v0.3.0
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## Overview
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`CudaMemoryBufferView` and `CudaMemoryBufferView<T>` were internal implementation details used for buffer slicing operations. These classes have been marked as `[Obsolete]` and `internal` because they exposed implementation details that should remain hidden from consumers.
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## What Changed
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### Before (v0.1.x)
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The buffer view classes were public, which could lead to confusion:
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```csharp
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// This was possible but NOT recommended
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CudaMemoryBufferView<float> view = ...; // Direct instantiation (wrong)
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```
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### After (v0.2.0+)
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The classes are now internal and obsolete:
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```csharp
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// CudaMemoryBufferView is now internal - cannot be used directly
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// Use IUnifiedMemoryBuffer instead through CudaMemoryManager
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```
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## Migration Path
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### For Buffer Slicing
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**Before:**
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```csharp
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// If you were somehow using CudaMemoryBufferView directly (incorrect usage)
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var view = new CudaMemoryBufferView<float>(devicePtr, length, parentBuffer);
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```
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**After:**
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```csharp
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// Use the memory manager's CreateSlice methods (correct usage)
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IMemoryManager memoryManager = accelerator.Memory;
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IUnifiedMemoryBuffer<float> buffer = await memoryManager.AllocateAsync<float>(1024);
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// Create a slice through the memory manager
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IUnifiedMemoryBuffer<float> slice = memoryManager.CreateSlice(buffer, offset: 100, length: 200);
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```
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### For Working with Buffers
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**Recommended Pattern:**
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```csharp
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// Always use interface types, never concrete implementations
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IUnifiedMemoryBuffer<float> buffer = await accelerator.Memory.AllocateAsync<float>(size);
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// Work with the buffer through the interface
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await buffer.CopyFromAsync(data);
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await buffer.CopyToAsync(result);
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// Create slices through the memory manager
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var slice = accelerator.Memory.CreateSlice(buffer, offset, length);
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```
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## Why This Change?
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1. **Encapsulation**: Buffer views are internal implementation details of the CUDA backend
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2. **Consistency**: All buffer operations should go through `IMemoryManager` and `IUnifiedMemoryBuffer`
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3. **Safety**: Direct buffer view creation bypasses safety checks in the memory manager
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4. **Flexibility**: Internal implementation can evolve without breaking user code
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## Impact Assessment
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### Affected Code
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- **Internal Only**: These classes were only used internally by `CudaMemoryManager`
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- **No Public API Impact**: No public APIs exposed these types directly
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- **Test Coverage**: No test code references these classes
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- **Zero Breaking Changes**: All public APIs continue to work unchanged
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### Timeline
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- **v0.2.0-alpha** (November 2025): Classes marked as `[Obsolete]` and `internal`
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- **v0.3.0** (Q1 2026): Classes will be removed entirely
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## Best Practices
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### ✅ DO
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- Use `IUnifiedMemoryBuffer<T>` and `IUnifiedMemoryBuffer` for all buffer operations
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- Create slices through `IMemoryManager.CreateSlice()` methods
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- Work with buffers through their interfaces
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- Let the memory manager handle buffer lifecycle
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### ❌ DON'T
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- Directly instantiate `CudaMemoryBufferView` or `CudaMemoryBufferView<T>`
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- Cast `IUnifiedMemoryBuffer` to concrete implementation types
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- Access internal buffer implementation details
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- Manage buffer memory outside of the memory manager
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## Example: Complete Buffer Workflow
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```csharp
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using DotCompute.Abstractions;
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using DotCompute.Abstractions.Memory;
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public async Task ProcessDataAsync(IAccelerator accelerator)
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{
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// Allocate buffer through memory manager
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IUnifiedMemoryBuffer<float> buffer =
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await accelerator.Memory.AllocateAsync<float>(1024);
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try
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{
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// Write data to buffer
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var data = new float[1024];
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await buffer.CopyFromAsync(data);
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// Create a slice for processing subset
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IUnifiedMemoryBuffer<float> slice =
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accelerator.Memory.CreateSlice(buffer, offset: 100, length: 500);
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// Work with the slice (it's also IUnifiedMemoryBuffer<float>)
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var sliceData = new float[500];
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await slice.CopyToAsync(sliceData);
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// Slices don't own memory - parent disposal cleans up everything
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slice.Dispose(); // Just marks as disposed, doesn't free memory
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}
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finally
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{
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// Dispose parent buffer (frees GPU memory)
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await buffer.DisposeAsync();
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}
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}
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```
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## Technical Details
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### Memory Ownership
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- **CudaMemoryBuffer**: Owns GPU memory, responsible for deallocation
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- **CudaMemoryBufferView**: Non-owning view, parent buffer handles cleanup
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- **Disposal Pattern**: Views mark themselves disposed but don't free memory
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### Implementation Notes
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The buffer view pattern enables:
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- Zero-copy slicing (no additional GPU allocations)
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- Efficient sub-buffer operations
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- Proper memory lifecycle management
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- Type-safe buffer operations
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## Questions?
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If you encounter issues during migration:
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1. Check that you're using `IUnifiedMemoryBuffer` interface types
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2. Verify all buffer operations go through `IMemoryManager`
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3. Review the [Memory Management Guide](./guides/memory-management.md)
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4. File an issue at https://github.com/mivertowski/DotCompute/issues
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## Related Documentation
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- [Memory Management Guide](./guides/memory-management.md)
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- [CUDA Backend Guide](./guides/cuda-backend.md)
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- [API Reference - IUnifiedMemoryBuffer](./api/DotCompute.Abstractions.Memory.IUnifiedMemoryBuffer.html)
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- [API Reference - IMemoryManager](./api/DotCompute.Abstractions.Memory.IMemoryManager.html)

src/Backends/DotCompute.Backends.CUDA/Memory/CudaMemoryBufferView.cs

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/// <param name="devicePointer">The device memory pointer for this view.</param>
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/// <param name="sizeInBytes">The size of this view in bytes.</param>
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/// <param name="parentBuffer">The parent buffer that owns the memory.</param>
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public sealed class CudaMemoryBufferView(nint devicePointer, long sizeInBytes, IUnifiedMemoryBuffer parentBuffer) : IUnifiedMemoryBuffer
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[Obsolete("CudaMemoryBufferView is an internal implementation detail and should not be used directly. Use IUnifiedMemoryBuffer through CudaMemoryManager instead. This class will be removed in v0.3.0.", false)]
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internal sealed class CudaMemoryBufferView(nint devicePointer, long sizeInBytes, IUnifiedMemoryBuffer parentBuffer) : IUnifiedMemoryBuffer
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{
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private readonly nint _devicePointer = devicePointer;
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private readonly long _sizeInBytes = sizeInBytes;
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/// <param name="devicePointer">The device memory pointer for this view.</param>
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/// <param name="length">The number of elements in this view.</param>
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/// <param name="parentBuffer">The parent buffer that owns the memory.</param>
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public sealed class CudaMemoryBufferView<T>(nint devicePointer, int length, IUnifiedMemoryBuffer<T> parentBuffer) : IUnifiedMemoryBuffer<T> where T : unmanaged
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[Obsolete("CudaMemoryBufferView<T> is an internal implementation detail and should not be used directly. Use IUnifiedMemoryBuffer<T> through CudaMemoryManager instead. This class will be removed in v0.3.0.", false)]
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internal sealed class CudaMemoryBufferView<T>(nint devicePointer, int length, IUnifiedMemoryBuffer<T> parentBuffer) : IUnifiedMemoryBuffer<T> where T : unmanaged
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{
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private readonly nint _devicePointer = devicePointer;
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private readonly int _length = length;

src/Backends/DotCompute.Backends.CUDA/Memory/CudaMemoryManager.cs

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var viewPtr = basePtr + offset * elementSize;
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// Create a view buffer that doesn't own the memory
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#pragma warning disable CS0618 // Type is obsolete - intentional internal use
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return new CudaMemoryBufferView<T>(viewPtr, length, buffer);
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#pragma warning restore CS0618
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}
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/// <inheritdoc/>
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var viewPtr = (nint)(basePtr.ToInt64() + offset);
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// Create a view buffer that doesn't own the memory
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#pragma warning disable CS0618 // Type is obsolete - intentional internal use
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return new CudaMemoryBufferView(viewPtr, length, buffer);
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#pragma warning restore CS0618
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}
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/// <summary>
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/// </summary>
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private static IntPtr GetDevicePointer<T>(IUnifiedMemoryBuffer<T> buffer) where T : unmanaged
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{
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#pragma warning disable CS0618 // Type is obsolete - intentional internal use
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return buffer switch
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{
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CudaMemoryBuffer<T> cudaTypedBuffer => cudaTypedBuffer.DevicePointer,
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CudaMemoryBufferView<T> cudaViewBuffer => cudaViewBuffer.DevicePointer,
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CudaMemoryBuffer cudaBuffer => cudaBuffer.DevicePointer,
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_ => throw new ArgumentException($"Unsupported buffer type: {buffer.GetType().Name}", nameof(buffer))
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};
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#pragma warning restore CS0618
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}
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/// <summary>
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/// Gets the device pointer from a buffer, handling different buffer types.
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/// </summary>
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private static IntPtr GetDevicePointer(IUnifiedMemoryBuffer buffer)
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{
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#pragma warning disable CS0618 // Type is obsolete - intentional internal use
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return buffer switch
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{
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CudaMemoryBuffer cudaBuffer => cudaBuffer.DevicePointer,
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CudaMemoryBufferView cudaViewBuffer => cudaViewBuffer.DevicePointer,
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_ => throw new ArgumentException($"Unsupported buffer type: {buffer.GetType().Name}", nameof(buffer))
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};
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#pragma warning restore CS0618
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}
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}
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}

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